Nexxen

Data Scientist

• Design, implement, evaluate, and help deploy machine learning models for bidding, pacing, KPI prediction, and forecasting
• Analyze large-scale behavioral and performance data using Spark, Scala/PySpark, SQL, and Python
• Navigate and improve complex legacy codebases
• Collaborate with product managers, engineers, and other data scientists to define problems and deliver end-to-end solutions
• Write clear, concise technical documentation
• Communicate insights effectively to technical and non-technical stakeholders
• Work on optimization and bidding logic for the Nexxen Demand-Side Platform
• Improve bidding, impression-winning, and optimization performance across real-time programmatic advertising exchanges

Account Executive

• Lead tactical sales and client management responsibilities for a book of business across the Central US region
• Drive revenue through account management and proactive selling of Nexxen's full-stack, end-to-end technology solution
• Drive sales and ensure exceptional client satisfaction
• Build long-term relationships with agencies and brand-direct clients
• Achieve fiscal and strategic goals
• Cultivate and nurture connections with agencies and brands
• Oversee sales forecasting tools and reporting
• Collaborate with local Trading and Account Management teams to coordinate stakeholder milestones and complete projects
• Communicate with external partners, clients, and internal stakeholders to influence outcomes
• Identify business challenges that Nexxen's solutions can address
• Innovate and implement solutions for new, existing, and unarticulated market needs

Senior Account Executive – Sales Director, Enterprise

Full-stack Engineer

• Design and develop high-performance distributed systems handling large-scale bid request traffic with sub-100ms latency requirements
• Build and optimize real-time bidding (RTB) services that evaluate targeting rules, campaign budgets, and bidding strategies in real time
• Implement efficient caching layers and in-memory data stores using technologies such as Redis, MongoDB, etc.
• Monitor and improve system performance through observability, load testing, and capacity planning
• Develop and maintain reliable, scalable, and efficient backend services using modern technologies and frameworks
• Write high-quality, well-tested code that is maintainable and adheres to best practices in software engineering
• Analyze data to drive decision making and assess the impact of system changes
• Follow agile methodologies and work in a fast-paced environment where results are quickly visible

Software Engineer 1 – DSP Runtime

DevOps Engineer

• Design, implement, and manage major site applications and subsystems.
• Establish architecture and automation mechanisms to deliver server solutions for our large scale, high performance operational infrastructure.
• Take part in the monitoring and deployment of new production applications and environments.